Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature by Mehdi Gheisari, Jana Shafi, Saeed Kosari, Samaneh Amanabadi, Saeid Mehdizadeh, Christian Fernandez Campusano, Hemn Barzan Abdalla

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Machine learning modeling based on informer for predicting complex unsteady flow fields to reduce consumption of computational fluid dynamics simulation by Mingkun Fang, Fangfang Zhang, Di Zhu, Ruofu Xiao, Ran Tao

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Integrating Machine Learning for Enhanced Agricultural Productivity: A Focus on Bananas and Arecanut in the Context of India’s Economic Growth by B. S. Saruk, G. Mokesh Rayalu

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Synergistic SAPSO-sinusoidal decay empirical formula for ship motion forecasting in waves by Jianwei Wang, Xinyu Han, Jiachen Chai, Wenlei Li, Ze He, Minghua Yue

“…Comparative analysis reveals that SAPSO achieves significant performance enhancements over standard PSO, with mean reductions of 70.8% in Mean Squared Error (MSE) and 40.1% in Root Mean Squared Error (RMSE), indicating substantially improved convergence stability. …”
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Mobile-Based Event Decoration Ordering System Using UAT Method with PIECES Framework by Hadi Jayusman, Fajar Mahardika, Ratih

“…The research results indicate that this application can enhance the efficiency of bookings, reduce communication errors between service providers and customers, and offer a better experience. …”
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Improved flow prediction of non-ideal sonic nozzles by CFD-based surrogate modelling by Sebastian Weiss, Bodo Mickan, Kilian Oberleithner, Markus Bär, Sonja Schmelter

“…The flow predictions of the surrogate model for the aforementioned parameterised contours are in much better agreement with experimental data for the respective test nozzle contour, exhibiting an average root mean square error of 0.17% over all test nozzles compared to the associated standard, with an average root mean square error of 0.35%. …”
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Aerodynamic performance analysis of a floating wind turbine with coupled blade rotation and surge motion by Kai Wang, Mengshang Zhao, Siqi Chen, Ruosi Zha

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Morphing and control of airfoils for optimum lift-to-drag ratio using shape-memory alloy with particle swarm optimization of PARSEC parameters by Raed Bourisli, Nesrin Ibrahim, Mohammed Alajmi

“…Validation against benchmark data confirms solver accuracy, and actuator tracking performance is demonstrated with displacement errors below 0.6%. The framework bridges aerodynamic design and real-time implementation, highlighting SMA's suitability for cruise-phase morphing. …”
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Multi-condition hawser tension prediction of offshore offloading system based on long and short-term memory network and transfer learning by Xu Zhang, Hao Luo, Hongbin Hao, Yong Ma

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A novel conceptual design approach for autonomous underwater helicopter based on multidisciplinary collaborative optimization by Yuan-Jie Chen, Haocai Huang

“…Furthermore, the proposed LTC-SSA-BPNN algorithm accurately evaluates sailing resistance and Tsai-Wu failure index, with maximum errors of 1.64% and 9.32% respectively. Additionally, the composite pressure shell achieves a 30.4% weight reduction and a 4.1% reduction in sailing resistance while maintaining structural stability. …”
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Liu Estimation Method in the Zero-Inflated Conway Maxwell Poisson Regression Model by Muhammad Amin, Bushra Ashraf, Syeda Maryam Siddiqa

“…A Monte Carlo simulation study is performed to compare the performance of the proposed estimator, where mean squared error (MSE) is utilized to demonstrate its superiority. …”
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Characterization of the Power Distribution Network for Commercialized STM32s Using a Resonance Frequency Measurement Method by Marie Peyrard, Gilles Jacquemod, Nicolas Froidevaux

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Forecasting of energy-related carbon dioxide emission using ANN combined with hybrid metaheuristic optimization algorithms by Hossein Moayedi, Azfarizal Mukhtar, Nidhal Ben Khedher, Isam Elbadawi, Mouldi Ben Amara, Quynh TT, Nima Khalilpoor

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Robust Model Predictive Control for AFE-Inverter Drives With Common Mode Voltage Elimination by S.M. Muslem Uddin, Galina Mirzaeva, Graham C. Goodwin

“…The resulting AC drive scheme provides high tracking accuracy over the full speed range, robustness to disturbances and parameters error, coupled with practically zero CMV and consequently - very low levels of conducted and radiated electromagnetic interference (EMI). …”
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Rapid flood inundation mapping by integrating deep learning-based image super-resolution with coarse-grid hydrodynamic modeling by Wenke Song, Mingfu Guan, Kaihua Guo, Dapeng Yu

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Classification of Review Text using Hybrid Convolutional Neural Network and Gated Recurrent Unit Methods by Fiqih Fathor Rachim, Auli Damayanti, Edi Winarko

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Development and validation of a CFD-based model for simulating rotating drum separators by Theodoros Dimas, Arne Eggers, Jef R. Peeters, Maarten Vanierschot

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3D computational fluid dynamics analysis of natural gas separation efficiency in multiphase pumping wells with heterogeneous flow regime by Charles C. Okafor, Patrick G. Verdin

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A Gate-Level Power Estimation Approach with a Comprehensive Definition of Thresholds for Classification and Filtering of Inertial Glitch Pulses by Benjamin Villegas, Ioannis Vourkas

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Condition monitoring of axial piston pumps based on machine learning-driven real-time CFD simulation by Wentao Wang, Qun Chao, Junjie Shi, Chengliang Liu

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